Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study

Detalhes bibliográficos
Autor(a) principal: Lee, W
Data de Publicação: 2020
Outros Autores: Kim, Y, Sera, F, Gasparrini, A, Park, R, Michelle Choi, H, Prifti, K, Bell, ML, Abrutzky, R, Guo, Y, Tong, S, de Sousa Zanotti Stagliorio Coelho, M, Nascimento Saldiva, PH, Lavigne, E, Orru, H, Indermitte, E, Jaakkola, JJK, Ryti, NRI, Pascal, M, Goodman, P, Zeka, A, Hashizume, M, Honde Y, Hurtado Diaz, M, César Cruz, J, Overcenco, A, Nunes, B, Madureira, J, Scovronick, N, Acquaotta, F, Tobias, A, Vicedo-Cabrera, AM, Ragettli, MS, Guo, YL, Chen, BY, Li, S, Armstrong, B, Zanobetti, A, Schwartz, J, Kim, H
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/143136
Resumo: Background. Various retrospective studies have reported on the increase of mortality risk due to higher diurnal temperature range (DTR). This study projects the effect of DTR on future mortality across 445 communities in 20 countries and regions. Methods. DTR-related mortality risk was estimated on the basis of the historical daily time-series of mortality and weather factors from Jan 1, 1985, to Dec 31, 2015, with data for 445 communities across 20 countries and regions, from the Multi-Country Multi-City Collaborative Research Network. We obtained daily projected temperature series associated with four climate change scenarios, using the four representative concentration pathways (RCPs) described by the Intergovernmental Panel on Climate Change, from the lowest to the highest emission scenarios (RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5). Excess deaths attributable to the DTR during the current (1985–2015) and future (2020–99) periods were projected using daily DTR series under the four scenarios. Future excess deaths were calculated on the basis of assumptions that warmer long-term average temperatures affect or do not affect the DTR-related mortality risk. Findings. The time-series analyses results showed that DTR was associated with excess mortality. Under the unmitigated climate change scenario (RCP 8.5), the future average DTR is projected to increase in most countries and regions (by −0·4 to 1·6°C), particularly in the USA, south-central Europe, Mexico, and South Africa. The excess deaths currently attributable to DTR were estimated to be 0·2–7·4%. Furthermore, the DTR-related mortality risk increased as the long-term average temperature increased; in the linear mixed model with the assumption of an interactive effect with long-term average temperature, we estimated 0·05% additional DTR mortality risk per 1°C increase in average temperature. Based on the interaction with long-term average temperature, the DTR-related excess deaths are projected to increase in all countries or regions by 1·4–10·3% in 2090–99. Interpretation. This study suggests that globally, DTR-related excess mortality might increase under climate change, and this increasing pattern is likely to vary between countries and regions. Considering climatic changes, our findings could contribute to public health interventions aimed at reducing the impact of DTR on human health.
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spelling Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling studyBackground. Various retrospective studies have reported on the increase of mortality risk due to higher diurnal temperature range (DTR). This study projects the effect of DTR on future mortality across 445 communities in 20 countries and regions. Methods. DTR-related mortality risk was estimated on the basis of the historical daily time-series of mortality and weather factors from Jan 1, 1985, to Dec 31, 2015, with data for 445 communities across 20 countries and regions, from the Multi-Country Multi-City Collaborative Research Network. We obtained daily projected temperature series associated with four climate change scenarios, using the four representative concentration pathways (RCPs) described by the Intergovernmental Panel on Climate Change, from the lowest to the highest emission scenarios (RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5). Excess deaths attributable to the DTR during the current (1985–2015) and future (2020–99) periods were projected using daily DTR series under the four scenarios. Future excess deaths were calculated on the basis of assumptions that warmer long-term average temperatures affect or do not affect the DTR-related mortality risk. Findings. The time-series analyses results showed that DTR was associated with excess mortality. Under the unmitigated climate change scenario (RCP 8.5), the future average DTR is projected to increase in most countries and regions (by −0·4 to 1·6°C), particularly in the USA, south-central Europe, Mexico, and South Africa. The excess deaths currently attributable to DTR were estimated to be 0·2–7·4%. Furthermore, the DTR-related mortality risk increased as the long-term average temperature increased; in the linear mixed model with the assumption of an interactive effect with long-term average temperature, we estimated 0·05% additional DTR mortality risk per 1°C increase in average temperature. Based on the interaction with long-term average temperature, the DTR-related excess deaths are projected to increase in all countries or regions by 1·4–10·3% in 2090–99. Interpretation. This study suggests that globally, DTR-related excess mortality might increase under climate change, and this increasing pattern is likely to vary between countries and regions. Considering climatic changes, our findings could contribute to public health interventions aimed at reducing the impact of DTR on human health.Elsevier20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/143136eng2542-519610.1016/S2542-5196(20)30222-9Lee, WKim, YSera, FGasparrini, APark, RMichelle Choi, HPrifti, KBell, MLAbrutzky, RGuo, YTong, Sde Sousa Zanotti Stagliorio Coelho, MNascimento Saldiva, PHLavigne, EOrru, HIndermitte, EJaakkola, JJKRyti, NRIPascal, MGoodman, PZeka, AHashizume, MHonde YHurtado Diaz, MCésar Cruz, JOvercenco, ANunes, BMadureira, JScovronick, NAcquaotta, FTobias, AVicedo-Cabrera, AMRagettli, MSGuo, YLChen, BYLi, SArmstrong, BZanobetti, ASchwartz, JKim, Hinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:39:11Zoai:repositorio-aberto.up.pt:10216/143136Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:06:02.372204Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study
title Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study
spellingShingle Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study
Lee, W
title_short Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study
title_full Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study
title_fullStr Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study
title_full_unstemmed Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study
title_sort Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study
author Lee, W
author_facet Lee, W
Kim, Y
Sera, F
Gasparrini, A
Park, R
Michelle Choi, H
Prifti, K
Bell, ML
Abrutzky, R
Guo, Y
Tong, S
de Sousa Zanotti Stagliorio Coelho, M
Nascimento Saldiva, PH
Lavigne, E
Orru, H
Indermitte, E
Jaakkola, JJK
Ryti, NRI
Pascal, M
Goodman, P
Zeka, A
Hashizume, M
Honde Y
Hurtado Diaz, M
César Cruz, J
Overcenco, A
Nunes, B
Madureira, J
Scovronick, N
Acquaotta, F
Tobias, A
Vicedo-Cabrera, AM
Ragettli, MS
Guo, YL
Chen, BY
Li, S
Armstrong, B
Zanobetti, A
Schwartz, J
Kim, H
author_role author
author2 Kim, Y
Sera, F
Gasparrini, A
Park, R
Michelle Choi, H
Prifti, K
Bell, ML
Abrutzky, R
Guo, Y
Tong, S
de Sousa Zanotti Stagliorio Coelho, M
Nascimento Saldiva, PH
Lavigne, E
Orru, H
Indermitte, E
Jaakkola, JJK
Ryti, NRI
Pascal, M
Goodman, P
Zeka, A
Hashizume, M
Honde Y
Hurtado Diaz, M
César Cruz, J
Overcenco, A
Nunes, B
Madureira, J
Scovronick, N
Acquaotta, F
Tobias, A
Vicedo-Cabrera, AM
Ragettli, MS
Guo, YL
Chen, BY
Li, S
Armstrong, B
Zanobetti, A
Schwartz, J
Kim, H
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Lee, W
Kim, Y
Sera, F
Gasparrini, A
Park, R
Michelle Choi, H
Prifti, K
Bell, ML
Abrutzky, R
Guo, Y
Tong, S
de Sousa Zanotti Stagliorio Coelho, M
Nascimento Saldiva, PH
Lavigne, E
Orru, H
Indermitte, E
Jaakkola, JJK
Ryti, NRI
Pascal, M
Goodman, P
Zeka, A
Hashizume, M
Honde Y
Hurtado Diaz, M
César Cruz, J
Overcenco, A
Nunes, B
Madureira, J
Scovronick, N
Acquaotta, F
Tobias, A
Vicedo-Cabrera, AM
Ragettli, MS
Guo, YL
Chen, BY
Li, S
Armstrong, B
Zanobetti, A
Schwartz, J
Kim, H
description Background. Various retrospective studies have reported on the increase of mortality risk due to higher diurnal temperature range (DTR). This study projects the effect of DTR on future mortality across 445 communities in 20 countries and regions. Methods. DTR-related mortality risk was estimated on the basis of the historical daily time-series of mortality and weather factors from Jan 1, 1985, to Dec 31, 2015, with data for 445 communities across 20 countries and regions, from the Multi-Country Multi-City Collaborative Research Network. We obtained daily projected temperature series associated with four climate change scenarios, using the four representative concentration pathways (RCPs) described by the Intergovernmental Panel on Climate Change, from the lowest to the highest emission scenarios (RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5). Excess deaths attributable to the DTR during the current (1985–2015) and future (2020–99) periods were projected using daily DTR series under the four scenarios. Future excess deaths were calculated on the basis of assumptions that warmer long-term average temperatures affect or do not affect the DTR-related mortality risk. Findings. The time-series analyses results showed that DTR was associated with excess mortality. Under the unmitigated climate change scenario (RCP 8.5), the future average DTR is projected to increase in most countries and regions (by −0·4 to 1·6°C), particularly in the USA, south-central Europe, Mexico, and South Africa. The excess deaths currently attributable to DTR were estimated to be 0·2–7·4%. Furthermore, the DTR-related mortality risk increased as the long-term average temperature increased; in the linear mixed model with the assumption of an interactive effect with long-term average temperature, we estimated 0·05% additional DTR mortality risk per 1°C increase in average temperature. Based on the interaction with long-term average temperature, the DTR-related excess deaths are projected to increase in all countries or regions by 1·4–10·3% in 2090–99. Interpretation. This study suggests that globally, DTR-related excess mortality might increase under climate change, and this increasing pattern is likely to vary between countries and regions. Considering climatic changes, our findings could contribute to public health interventions aimed at reducing the impact of DTR on human health.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/143136
url https://hdl.handle.net/10216/143136
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2542-5196
10.1016/S2542-5196(20)30222-9
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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